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Apple Intelligence Foundation Language Models Tech Report 2025

machinelearning.apple.com

201–210 of 210 posts

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#201

Earlier quoted context omitted.

A tool that can handle more than one question at a time is useful. Modern LLMs handle that with ease. So it's completely reasonable to be critical of that limitation.

Sure, what’s not reasonable is expecting Siri to be a modern LLM, when they know it’s not. They asked a question they knew Siri couldn’t handle just to slam it. I’m not critical of a 5-function calculator for not one-shotting complex equations like a computer. While Siri only does one thing at a time, I trust the answer more, because it’s doing the actual math and not just guessing what the most likely answer is, lik…

On Android phone, the equivalent voice assistant (Gemini) handles the question gracefully. Regardless of what you think about Google, having a single-button LLM-powered voice assistant, deeply integrated into the phone's OS, is a very useful feature, and Apple is quite far away from developing a competing version of this. They'll have to buy it or go without.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#202
post #86

Earlier quoted context omitted.

Educate me: is there any work on modifying models in a way that changes relatively few parameters, so an update is a smaller payload?

Yeah, LoRAs. Apple uses them to specialize a single model for different uses.

Thanks! Very interesting. Lead inventor Edward Hu describes them, and their usage, incredibly well in this video:

https://youtu.be/DhRoTONcyZE?si=vM2N5zNslbQ5z8gv

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#203

Earlier quoted context omitted.

> Using our web crawling strategy, we sourced pairs of images with corresponding alt-texts. An issue for anti-AI people, as seen on Bluesky, is that they're often "insisting you write alt text for all images" people as well. But this is probably the main use for alt text at this point, so they're essentially doing annotation work for free.

> An issue for anti-AI people, as seen on Bluesky, is that they're often "insisting you write alt text for all images" people as well. But this is probably the main use for alt text at this point, so they're essentially doing annotation work for free. How did you come to the conclusion that those two groups overlap so significantly?

This is a well known fact. A bunch of AI researchers tried to migrate to the platform from Twitter but got a ton of hate and death threats from other users so they went back. Bluesky has a pretty strong anti-AI bias and the community of folks talking about it despite that is very small.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#204

Earlier quoted context omitted.

None of those features are in any way interesting though. Image playground is a joke, Siri is a joke, that generative emoji thing is a joke. The AI stuff with photography sure, but that’s more like machine learning. The photo touch up thing is… useable? Sometimes? What is it you’ve been so impressed with?

This is available in iOS 26 to all applications; it's available directly to the user through shortcuts. I'm currently on the beta, and I have a shortcut that pulls in various bits of context and feeds that directly to the on-device model.

Is there another model you’d say it’s roughly on a par with ?

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#205
post #129

Earlier quoted context omitted.

As a user, I'd gladly opt into a slightly less deeply integrated Siri that understands what I want from it . Build a crude router in front of it, if you must, or give it access to "the old Siri" as a tool it can call, and let the LLM decide whether to return its own or a Siri-generated response! I bet even smaller LLMs would be able to figure out, given a user input and Siri response pair, whether the request was res…

> Build a crude router in front of it, if you must, or give it access to "the old Siri" as a tool it can call, and let the LLM decide whether to return its own or a Siri-generated response! Both of these approaches were tried internally, including even the ability for the LLM to rewrite siri-as-a-tool's response, and none of them shipped, because they all suck. Putting a router in front of it makes multi-turn convers…

Very good details on why just bolting on an LLM isn't that trivial I hadn't really considered before, thank you!

But regarding Apple not wanting to admit that client side compute isn't enough: Haven't they essentially already done that, with Private Cloud Computing and all that? I believe not even proofreading and Safari summarization work fully on-device, at least according to my private compute privacy logs.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#206
post #47

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One problem with Apple's approach here is that they were scraping the web for training data long before they published the details of their activities and told people how to exclude them using robots.txt

They documented it in 2015: https://www.macrumors.com/2015/05/06/applebot-web-crawler-si...

[deleted]

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#207

Earlier quoted context omitted.

I think it's a great move that Apple is cautious with including a hardcore LLM in everything. They are not that useful to the regular user.

Nobody is forcing "hardcore LLM" features on anyone, besides maybe Microsoft. This is that same cope as "I'm glad Apple Car can't crash and threaten people's lives" despite the fact that... yunno, Apple really wanted to bring it to market. Siri, sideloading and AI features all all the same way; give people options and nobody will complain.

If they give Siri LLMs, there will be headlines that it drove kids to suicide. People really don't need LLMs.

Sideloading is bad for business. Most users don't care. Remember, we, the devs, are not the core target/biggest spenders. They are targeting a large audience of young people who are not tech-savvy.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#208
post #165

Earlier quoted context omitted.

Apple used to be at the edge of AI. They shipped Siri before "AI assistant" went mainstream, they were one of the first to ship an actual NPU in consumer hardware and put neural networks into features people use. They were spearheading computational photography. They didn't publish research, they're fucking Apple, but they did do the work. And then they just... gave up? I don't know what happened to them. When AI bre…

> I don't know what happened to them. Tim Cook happened. The fish rots from the head down.

It's more like "Steve Jobs died". I'm not sure anyone could have replaced him.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#209
post #120

Earlier quoted context omitted.

IIRC yaml is easier for models than json because you don't need as much recursive syntax.

I doubt this is true anymore, if ever. Both require string escaping, which is the real hurdle. And they are heavily trained on JSON for tool calling.

I believe it could be true because I think training dataset contained a lot more yaml than json. I mean...you know how much yaml get churned out every second?

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#210
post #165

Earlier quoted context omitted.

> I don't know what happened to them. Tim Cook happened. The fish rots from the head down.

It's more like "Steve Jobs died". I'm not sure anyone could have replaced him.

Thats a lame excuse. And a strange attempt on deification.

The predecessor is no reason for the current head to slack off.

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